Overview

Dataset statistics

Number of variables15
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory123.4 B

Variable types

Text4
Categorical7
DateTime2
Numeric2

Dataset

Description대구광역시_서구_무료와이파이
Author대구광역시 서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15013116&dataSetDetailId=1501311618b00dc773c90_201909241827&provdMethod=FILE

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
와이파이SSID has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-10 19:05:26.243279
Analysis finished2023-12-10 19:05:28.086420
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct65
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-11T04:05:28.319544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.7634409
Min length3

Characters and Unicode

Total characters536
Distinct characters99
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)53.8%

Sample

1st row대구북부고용센터
2nd row대구북부고용센터
3rd row북부정류장
4th row서구문화회관
5th row서구청소년수련관
ValueCountFrequency (%)
서부도서관 13
 
14.0%
대구의료원 3
 
3.2%
내당역 3
 
3.2%
서구시장 2
 
2.2%
서구청(별관 2
 
2.2%
평리2동주민센터 2
 
2.2%
비산4동주민센터 2
 
2.2%
대구북부고용센터 2
 
2.2%
서대구우체국 2
 
2.2%
비산1동 2
 
2.2%
Other values (55) 60
64.5%
2023-12-11T04:05:28.867640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 48
 
9.0%
관 28
 
5.2%
동 25
 
4.7%
구 21
 
3.9%
센 19
 
3.5%
터 19
 
3.5%
도 19
 
3.5%
부 18
 
3.4%
원 16
 
3.0%
민 15
 
2.8%
Other values (89) 308
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
94.0%
Decimal Number 25
 
4.7%
Other Punctuation 3
 
0.6%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 48
 
9.5%
관 28
 
5.6%
동 25
 
5.0%
구 21
 
4.2%
센 19
 
3.8%
터 19
 
3.8%
도 19
 
3.8%
부 18
 
3.6%
원 16
 
3.2%
민 15
 
3.0%
Other values (79) 276
54.8%
Decimal Number
ValueCountFrequency (%)
4 6
24.0%
3 5
20.0%
2 5
20.0%
1 4
16.0%
6 2
 
8.0%
5 2
 
8.0%
7 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
94.0%
Common 32
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 48
 
9.5%
관 28
 
5.6%
동 25
 
5.0%
구 21
 
4.2%
센 19
 
3.8%
터 19
 
3.8%
도 19
 
3.8%
부 18
 
3.6%
원 16
 
3.2%
민 15
 
3.0%
Other values (79) 276
54.8%
Common
ValueCountFrequency (%)
4 6
18.8%
3 5
15.6%
2 5
15.6%
1 4
12.5%
, 3
9.4%
6 2
 
6.2%
5 2
 
6.2%
) 2
 
6.2%
( 2
 
6.2%
7 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
94.0%
ASCII 32
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 48
 
9.5%
관 28
 
5.6%
동 25
 
5.0%
구 21
 
4.2%
센 19
 
3.8%
터 19
 
3.8%
도 19
 
3.8%
부 18
 
3.6%
원 16
 
3.2%
민 15
 
3.0%
Other values (79) 276
54.8%
ASCII
ValueCountFrequency (%)
4 6
18.8%
3 5
15.6%
2 5
15.6%
1 4
12.5%
, 3
9.4%
6 2
 
6.2%
5 2
 
6.2%
) 2
 
6.2%
( 2
 
6.2%
7 1
 
3.1%

설치장소상세
Text

Distinct59
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-11T04:05:29.201342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.9247312
Min length2

Characters and Unicode

Total characters644
Distinct characters141
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)54.8%

Sample

1st row2층 민원실 천정
2nd row1,2층 민원실 천정
3rd row쉼터공원
4th row1층 사무실
5th row지하 통신실
ValueCountFrequency (%)
민원실 28
 
14.9%
천정 23
 
12.2%
2층 10
 
5.3%
시장내 8
 
4.3%
1층 7
 
3.7%
중앙 5
 
2.7%
사무실 5
 
2.7%
옥상 4
 
2.1%
내 3
 
1.6%
각층 3
 
1.6%
Other values (66) 92
48.9%
2023-12-11T04:05:29.808518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
14.8%
실 54
 
8.4%
원 33
 
5.1%
민 30
 
4.7%
정 30
 
4.7%
층 29
 
4.5%
천 28
 
4.3%
장 17
 
2.6%
1 12
 
1.9%
2 11
 
1.7%
Other values (131) 305
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
78.0%
Space Separator 95
 
14.8%
Decimal Number 35
 
5.4%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Dash Punctuation 2
 
0.3%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 54
 
10.8%
원 33
 
6.6%
민 30
 
6.0%
정 30
 
6.0%
층 29
 
5.8%
천 28
 
5.6%
장 17
 
3.4%
안 11
 
2.2%
내 11
 
2.2%
사 9
 
1.8%
Other values (118) 250
49.8%
Decimal Number
ValueCountFrequency (%)
1 12
34.3%
2 11
31.4%
4 5
14.3%
3 4
 
11.4%
5 2
 
5.7%
8 1
 
2.9%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
78.0%
Common 140
 
21.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 54
 
10.8%
원 33
 
6.6%
민 30
 
6.0%
정 30
 
6.0%
층 29
 
5.8%
천 28
 
5.6%
장 17
 
3.4%
안 11
 
2.2%
내 11
 
2.2%
사 9
 
1.8%
Other values (118) 250
49.8%
Common
ValueCountFrequency (%)
95
67.9%
1 12
 
8.6%
2 11
 
7.9%
4 5
 
3.6%
3 4
 
2.9%
) 3
 
2.1%
( 3
 
2.1%
- 2
 
1.4%
5 2
 
1.4%
, 2
 
1.4%
Latin
ValueCountFrequency (%)
B 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
78.0%
ASCII 142
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
66.9%
1 12
 
8.5%
2 11
 
7.7%
4 5
 
3.5%
3 4
 
2.8%
) 3
 
2.1%
( 3
 
2.1%
- 2
 
1.4%
5 2
 
1.4%
, 2
 
1.4%
Other values (3) 3
 
2.1%
Hangul
ValueCountFrequency (%)
실 54
 
10.8%
원 33
 
6.6%
민 30
 
6.0%
정 30
 
6.0%
층 29
 
5.8%
천 28
 
5.6%
장 17
 
3.4%
안 11
 
2.2%
내 11
 
2.2%
사 9
 
1.8%
Other values (118) 250
49.8%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
대구광역시
93 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시
2nd row대구광역시
3rd row대구광역시
4th row대구광역시
5th row대구광역시

Common Values

ValueCountFrequency (%)
대구광역시 93
100.0%

Length

2023-12-11T04:05:30.001652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:30.132875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 93
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
서구
93 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서구
2nd row서구
3rd row서구
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
서구 93
100.0%

Length

2023-12-11T04:05:30.274730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:30.400062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 93
100.0%

설치시설구분
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
서민·복지시설
39 
관공서
28 
기타
21 
교통시설
5 

Length

Max length7
Median length4
Mean length4.5053763
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서민·복지시설
2nd row서민·복지시설
3rd row교통시설
4th row서민·복지시설
5th row서민·복지시설

Common Values

ValueCountFrequency (%)
서민·복지시설 39
41.9%
관공서 28
30.1%
기타 21
22.6%
교통시설 5
 
5.4%

Length

2023-12-11T04:05:30.530962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:30.687521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서민·복지시설 39
41.9%
관공서 28
30.1%
기타 21
22.6%
교통시설 5
 
5.4%

서비스제공사명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
SKT
42 
KT
34 
LGU+
17 

Length

Max length4
Median length3
Mean length2.8172043
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKT
2nd rowSKT
3rd rowLGU+
4th rowSKT
5th rowSKT

Common Values

ValueCountFrequency (%)
SKT 42
45.2%
KT 34
36.6%
LGU+ 17
18.3%

Length

2023-12-11T04:05:30.869616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:31.005388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
skt 42
45.2%
kt 34
36.6%
lgu 17
18.3%

와이파이SSID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
public Wifi
93 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowpublic Wifi
2nd rowpublic Wifi
3rd rowpublic Wifi
4th rowpublic Wifi
5th rowpublic Wifi

Common Values

ValueCountFrequency (%)
public Wifi 93
100.0%

Length

2023-12-11T04:05:31.133651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:31.264062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 93
50.0%
wifi 93
50.0%

설치연월
Date

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2012-01-01 00:00:00
Maximum2019-12-01 00:00:00
2023-12-11T04:05:31.391151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:05:31.550241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

소재지도로명주소
Text

Distinct59
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-11T04:05:31.863769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.354839
Min length15

Characters and Unicode

Total characters1707
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)44.1%

Sample

1st row대구광역시 서구 서대구로 9
2nd row대구광역시 서구 서대구로 9
3rd row대구광역시 서구 서대구로 295
4th row대구광역시 서구 당산로 403
5th row대구광역시 서구 문화로 122
ValueCountFrequency (%)
대구광역시 93
25.2%
서구 93
25.2%
12 14
 
3.8%
국채보상로49길 13
 
3.5%
국채보상로 8
 
2.2%
서대구로 7
 
1.9%
257 6
 
1.6%
문화로 6
 
1.6%
평리로 4
 
1.1%
달구벌대로 4
 
1.1%
Other values (79) 121
32.8%
2023-12-11T04:05:32.366093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
16.2%
구 203
 
11.9%
서 117
 
6.9%
대 110
 
6.4%
시 93
 
5.4%
역 93
 
5.4%
로 93
 
5.4%
광 93
 
5.4%
길 56
 
3.3%
1 54
 
3.2%
Other values (33) 519
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
64.4%
Decimal Number 322
 
18.9%
Space Separator 276
 
16.2%
Dash Punctuation 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 203
18.5%
서 117
10.6%
대 110
10.0%
시 93
8.5%
역 93
8.5%
로 93
8.5%
광 93
8.5%
길 56
 
5.1%
국 39
 
3.5%
채 39
 
3.5%
Other values (21) 164
14.9%
Decimal Number
ValueCountFrequency (%)
1 54
16.8%
2 46
14.3%
4 41
12.7%
3 38
11.8%
5 31
9.6%
9 31
9.6%
7 30
9.3%
6 25
7.8%
8 19
 
5.9%
0 7
 
2.2%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
64.4%
Common 607
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 203
18.5%
서 117
10.6%
대 110
10.0%
시 93
8.5%
역 93
8.5%
로 93
8.5%
광 93
8.5%
길 56
 
5.1%
국 39
 
3.5%
채 39
 
3.5%
Other values (21) 164
14.9%
Common
ValueCountFrequency (%)
276
45.5%
1 54
 
8.9%
2 46
 
7.6%
4 41
 
6.8%
3 38
 
6.3%
5 31
 
5.1%
9 31
 
5.1%
7 30
 
4.9%
6 25
 
4.1%
8 19
 
3.1%
Other values (2) 16
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
64.4%
ASCII 607
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
45.5%
1 54
 
8.9%
2 46
 
7.6%
4 41
 
6.8%
3 38
 
6.3%
5 31
 
5.1%
9 31
 
5.1%
7 30
 
4.9%
6 25
 
4.1%
8 19
 
3.1%
Other values (2) 16
 
2.6%
Hangul
ValueCountFrequency (%)
구 203
18.5%
서 117
10.6%
대 110
10.0%
시 93
8.5%
역 93
8.5%
로 93
8.5%
광 93
8.5%
길 56
 
5.1%
국 39
 
3.5%
채 39
 
3.5%
Other values (21) 164
14.9%

소재지지번주소
Text

Distinct57
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-11T04:05:32.645771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length18.645161
Min length16

Characters and Unicode

Total characters1734
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)41.9%

Sample

1st row대구광역시 서구 내당동 469-8
2nd row대구광역시 서구 내당동 469-8
3rd row대구광역시 서구 비산동 1856-3
4th row대구광역시 서구 이현동 48-144
5th row대구광역시 서구 이현동 48-8
ValueCountFrequency (%)
대구광역시 93
25.0%
서구 93
25.0%
평리동 41
11.0%
비산동 21
 
5.6%
내당동 14
 
3.8%
1230-1 13
 
3.5%
1230-9 7
 
1.9%
중리동 6
 
1.6%
이현동 6
 
1.6%
원대동3가 4
 
1.1%
Other values (56) 74
19.9%
2023-12-11T04:05:33.111699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
16.1%
구 186
 
10.7%
1 110
 
6.3%
대 98
 
5.7%
광 93
 
5.4%
역 93
 
5.4%
시 93
 
5.4%
서 93
 
5.4%
동 93
 
5.4%
- 83
 
4.8%
Other values (20) 513
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
53.9%
Decimal Number 437
25.2%
Space Separator 279
 
16.1%
Dash Punctuation 83
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 186
19.9%
대 98
10.5%
광 93
9.9%
역 93
9.9%
시 93
9.9%
서 93
9.9%
동 93
9.9%
리 47
 
5.0%
평 41
 
4.4%
비 21
 
2.2%
Other values (8) 77
8.2%
Decimal Number
ValueCountFrequency (%)
1 110
25.2%
2 56
12.8%
3 56
12.8%
0 54
12.4%
4 40
 
9.2%
8 28
 
6.4%
9 28
 
6.4%
6 25
 
5.7%
5 22
 
5.0%
7 18
 
4.1%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 935
53.9%
Common 799
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 186
19.9%
대 98
10.5%
광 93
9.9%
역 93
9.9%
시 93
9.9%
서 93
9.9%
동 93
9.9%
리 47
 
5.0%
평 41
 
4.4%
비 21
 
2.2%
Other values (8) 77
8.2%
Common
ValueCountFrequency (%)
279
34.9%
1 110
 
13.8%
- 83
 
10.4%
2 56
 
7.0%
3 56
 
7.0%
0 54
 
6.8%
4 40
 
5.0%
8 28
 
3.5%
9 28
 
3.5%
6 25
 
3.1%
Other values (2) 40
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 935
53.9%
ASCII 799
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
34.9%
1 110
 
13.8%
- 83
 
10.4%
2 56
 
7.0%
3 56
 
7.0%
0 54
 
6.8%
4 40
 
5.0%
8 28
 
3.5%
9 28
 
3.5%
6 25
 
3.1%
Other values (2) 40
 
5.0%
Hangul
ValueCountFrequency (%)
구 186
19.9%
대 98
10.5%
광 93
9.9%
역 93
9.9%
시 93
9.9%
서 93
9.9%
동 93
9.9%
리 47
 
5.0%
평 41
 
4.4%
비 21
 
2.2%
Other values (8) 77
8.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
대구광역시 서구청
93 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 서구청
2nd row대구광역시 서구청
3rd row대구광역시 서구청
4th row대구광역시 서구청
5th row대구광역시 서구청

Common Values

ValueCountFrequency (%)
대구광역시 서구청 93
100.0%

Length

2023-12-11T04:05:33.273345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:33.400724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 93
50.0%
서구청 93
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
053-663-2477
93 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-663-2477
2nd row053-663-2477
3rd row053-663-2477
4th row053-663-2477
5th row053-663-2477

Common Values

ValueCountFrequency (%)
053-663-2477 93
100.0%

Length

2023-12-11T04:05:33.523912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:05:33.622422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-663-2477 93
100.0%

위도
Real number (ℝ)

Distinct76
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.871929
Minimum35.858547
Maximum35.888253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-11T04:05:33.728905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.858547
5-th percentile35.859302
Q135.867355
median35.872256
Q335.875809
95-th percentile35.885281
Maximum35.888253
Range0.02970554
Interquartile range (IQR)0.0084547

Descriptive statistics

Standard deviation0.0075746045
Coefficient of variation (CV)0.00021115688
Kurtosis-0.40827072
Mean35.871929
Median Absolute Deviation (MAD)0.00404405
Skewness0.027541504
Sum3336.0894
Variance5.7374633 × 10-5
MonotonicityNot monotonic
2023-12-11T04:05:33.926971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87225615 11
 
11.8%
35.860212 3
 
3.2%
35.87224865 2
 
2.2%
35.873609 2
 
2.2%
35.881144 2
 
2.2%
35.87119186 2
 
2.2%
35.88177087 2
 
2.2%
35.8586985 1
 
1.1%
35.8758139 1
 
1.1%
35.8755799 1
 
1.1%
Other values (66) 66
71.0%
ValueCountFrequency (%)
35.85854746 1
 
1.1%
35.85869622 1
 
1.1%
35.8586985 1
 
1.1%
35.85898962 1
 
1.1%
35.85905425 1
 
1.1%
35.859467 1
 
1.1%
35.85960985 1
 
1.1%
35.85962801 1
 
1.1%
35.85963016 1
 
1.1%
35.860212 3
3.2%
ValueCountFrequency (%)
35.888253 1
1.1%
35.88798327 1
1.1%
35.88624511 1
1.1%
35.88576398 1
1.1%
35.885434 1
1.1%
35.8851782 1
1.1%
35.8842166 1
1.1%
35.88419418 1
1.1%
35.883052 1
1.1%
35.8820555 1
1.1%

경도
Real number (ℝ)

Distinct75
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.56012
Minimum128.5406
Maximum128.57879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-11T04:05:34.114412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5406
5-th percentile128.545
Q1128.55522
median128.55893
Q3128.569
95-th percentile128.57479
Maximum128.57879
Range0.0381957
Interquartile range (IQR)0.0137802

Descriptive statistics

Standard deviation0.0097882946
Coefficient of variation (CV)7.6137876 × 10-5
Kurtosis-0.65250595
Mean128.56012
Median Absolute Deviation (MAD)0.005261
Skewness0.028346464
Sum11956.091
Variance9.5810711 × 10-5
MonotonicityNot monotonic
2023-12-11T04:05:34.308325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5577209 11
 
11.8%
128.564196 3
 
3.2%
128.5707133 2
 
2.2%
128.5592113 2
 
2.2%
128.5457716 2
 
2.2%
128.5747077 2
 
2.2%
128.569002 2
 
2.2%
128.563687 2
 
2.2%
128.553921 1
 
1.1%
128.569127 1
 
1.1%
Other values (65) 65
69.9%
ValueCountFrequency (%)
128.5405986 1
1.1%
128.5406638 1
1.1%
128.5406722 1
1.1%
128.5406746 1
1.1%
128.5442743 1
1.1%
128.5454771 1
1.1%
128.545527 1
1.1%
128.5457716 2
2.2%
128.5463685 1
1.1%
128.5463739 1
1.1%
ValueCountFrequency (%)
128.5787943 1
1.1%
128.578038 1
1.1%
128.577958 1
1.1%
128.5762635 1
1.1%
128.574792 1
1.1%
128.5747865 1
1.1%
128.574731 1
1.1%
128.5747077 2
2.2%
128.574556 1
1.1%
128.5743593 1
1.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2020-11-26 00:00:00
Maximum2020-11-26 00:00:00
2023-12-11T04:05:34.491899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:05:34.634649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T04:05:27.299323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:05:27.013598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:05:27.444594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:05:27.134797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:05:34.748293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명설치연월소재지도로명주소소재지지번주소위도경도
설치장소명1.0000.0001.0000.9100.9871.0001.0001.0001.000
설치장소상세0.0001.0000.9650.5580.6120.7770.0000.7250.000
설치시설구분1.0000.9651.0000.1870.3000.9970.9970.4630.620
서비스제공사명0.9100.5580.1871.0000.6590.8940.8250.2440.000
설치연월0.9870.6120.3000.6591.0000.9480.9180.5260.716
소재지도로명주소1.0000.7770.9970.8940.9481.0001.0000.9991.000
소재지지번주소1.0000.0000.9970.8250.9181.0001.0000.9991.000
위도1.0000.7250.4630.2440.5260.9990.9991.0000.803
경도1.0000.0000.6200.0000.7161.0001.0000.8031.000
2023-12-11T04:05:34.892406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스제공사명설치시설구분
서비스제공사명1.0000.175
설치시설구분0.1751.000
2023-12-11T04:05:35.009121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치시설구분서비스제공사명
위도1.0000.2930.2820.140
경도0.2931.0000.3950.000
설치시설구분0.2820.3951.0000.175
서비스제공사명0.1400.0000.1751.000

Missing values

2023-12-11T04:05:27.661986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:05:27.965970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치연월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
0대구북부고용센터2층 민원실 천정대구광역시서구서민·복지시설KTpublic Wifi2012-01대구광역시 서구 서대구로 9대구광역시 서구 내당동 469-8대구광역시 서구청053-663-247735.858699128.5568412020-11-26
1대구북부고용센터1,2층 민원실 천정대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 서대구로 9대구광역시 서구 내당동 469-8대구광역시 서구청053-663-247735.858696128.5568442020-11-26
2북부정류장쉼터공원대구광역시서구교통시설LGU+public Wifi2012-01대구광역시 서구 서대구로 295대구광역시 서구 비산동 1856-3대구광역시 서구청053-663-247735.884194128.5552812020-11-26
3서구문화회관1층 사무실대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 당산로 403대구광역시 서구 이현동 48-144대구광역시 서구청053-663-247735.873624128.5454772020-11-26
4서구청소년수련관지하 통신실대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 문화로 122대구광역시 서구 이현동 48-8대구광역시 서구청053-663-247735.873609128.5457722020-11-26
5서구어린이도서관통신실대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 문화로 123대구광역시 서구 이현동 69-3대구광역시 서구청053-663-247735.874198128.5463682020-11-26
6중리동우체국민원실대구광역시서구기타KTpublic Wifi2012-01대구광역시 서구 평리로 148대구광역시 서구 중리동 702-1대구광역시 서구청053-663-247735.858547128.5405992020-11-26
7서부도서관2층 디지털자료실대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 국채보상로49길 12대구광역시 서구 평리동 1230-1대구광역시 서구청053-663-247735.872469128.5576232020-11-26
8서부도서관2층 휴게실대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 국채보상로49길 12대구광역시 서구 평리동 1230-1대구광역시 서구청053-663-247735.872256128.5577212020-11-26
9서부도서관3층 남여열람실안 천정대구광역시서구서민·복지시설SKTpublic Wifi2012-01대구광역시 서구 국채보상로49길 12대구광역시 서구 평리동 1230-1대구광역시 서구청053-663-247735.872256128.5577212020-11-26
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치연월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
83비원도서관2층 종합자료실 안 중앙 천정대구광역시서구서민·복지시설LGU+public Wifi2019-12대구광역시 서구 달서천로61안길 10대구광역시 서구 비산동 1025-358대구광역시 서구청053-663-247735.881771128.5707132020-11-26
84어린이도서관2층 어린이 도서실 내 노트북존 천정대구광역시서구서민·복지시설LGU+public Wifi2019-12대구광역시 서구 문화로123대구광역시 서구 이현동 69-3대구광역시 서구청053-663-247735.874192128.5463742020-11-26
85비산2,3동주민센터1층 민원실 내 천정대구광역시서구관공서LGU+public Wifi2019-12대구광역시 서구 국채보상로81길 43대구광역시 서구 비산동 125-22대구광역시 서구청053-663-247735.875809128.5747922020-11-26
86비산도서관2층 도서관 중앙 천정대구광역시서구서민·복지시설LGU+public Wifi2019-12대구광역시 서구 달서로14길 13대구광역시 서구 비산동 200-8대구광역시 서구청053-663-247735.868534128.5733162020-11-26
87평리5동주민센터2층 민원실 내 중앙 천정대구광역시서구관공서LGU+public Wifi2019-12대구광역시 서구 국채보상로151대구광역시 서구 평리동 1535-2대구광역시 서구청053-663-247735.869378128.5476952020-11-26
88원고개도서관문화강좌실1 천정대구광역시서구서민·복지시설LGU+public Wifi2019-12대구광역시 서구 달서로43길 12대구광역시 서구 비산동 590-1대구광역시 서구청053-663-247735.881771128.5707132020-11-26
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